Jun Lan

ZoomGain is a data-construction pipeline that compares a full-image description of a region with a zoomed-in description of the same region and rewrites details visible only after zooming into questions about the whole image, verifying answers on the zoomed view with several models and discarding items answerable from language priors alone. On the resulting 1,000-question bilingual ZoomGainBench, the best of 28 vision-language models, GPT-5.6-Sol, scores only 61.08; after GRPO reinforcement learning on just 9K ZoomGain samples, Qwen3.5-9B averages 66.10 across 13 held-out benchmarks, above Qwen3.5-397B-A17B at 65.55.

ZoomGain is a data-construction pipeline that compares a full-image description of a region with a zoomed-in description of the same region and rewrites details visible only after zooming into questions about the whole image, verifying answers on the zoomed view with several models and discarding items answerable from language priors alone. On the resulting 1,000-question bilingual ZoomGainBench, the best of 28 vision-language models, GPT-5.6-Sol, scores only 61.08; after GRPO reinforcement learning on just 9K ZoomGain samples, Qwen3.5-9B averages 66.10 across 13 held-out benchmarks, above Qwen3.5-397B-A17B at 65.55.